01
Trustworthy AI
I research privacy, harmful-response behavior, and robust AI systems-especially where multilingual and low-resource contexts matter.
Available to make an impact
Dhruv
Tibarewal.
AI/ML Researcher & Production Engineer. I build reliable machine learning systems and study how to make AI safer, more capable, and useful in the real world.
M.S. by Research
IIT Madras
Data Science & AI
AI Safety
Secure AI Futures Lab
Multilingual AI research
SDE Intern
ML Hub
Backend & ML infra
Top-Rated
Upwork
AI/ML Developer
Operating at the intersection
Research depth. Engineering discipline. Real-world stakes.
02
Production ML
From raw signals to monitored inference, I build systems that can survive operational complexity-not just notebooks.
03
Agentic Systems
I design retrieval and multi-agent workflows with evaluation, guardrails, and an eye toward measurable reliability.
Selected work
Systems designed to carry weight.
Open any case study for the technical approach, scope, and outcomes-not just a headline.
Ongoing research
Indic Multimodal Trust & Safety
A research-grade system in development for multimodal deepfake detection in Indic-language contexts-combining specialized AI agents, evidence retrieval, and evaluation-driven safeguards.
Research in progress · India AI Mission
Multi-agent workflowsLangGraphRAGMultimodal AILLM evals
Production ML
Renewable Forecasting at Scale
An operational 7-day power forecasting platform for distributed renewable assets. Built around per-plant learning, weather-aware features, robust ensembles, and automated inference.
~450 plants · 1,700+ models · 98% deployment success
LightGBMCatBoostXGBoostFastAPIMLOps
B.Tech thesis
Machine Unlearning for Recommenders
An empirical study of privacy versus performance in recommendation-system unlearning across Matrix Factorization and SASRec architectures.
Evaluated privacy leakage, recommendation drift & stability
SASRecSISAMIA AUCMovieLens-1M
BlockVerse · HR AI product
AIInterviewCoach
A personalized AI mock-interview experience that generates role-specific scenarios, scripts, voice-over, visuals, and interview simulations.
End-to-end product · BlockVerse Institute
PythonStreamlitOpenAIgTTSMoviePyDocker
BlockVerse · HR analytics
Insight-Hire
An interview-feedback sentiment analyzer that turns interview text or video into structured scores, evidence, and actionable candidate feedback.
Whisper transcription · structured feedback reports
OpenAIWhisperStreamlitHugging FaceDocker
Open-source collaboration
Responsible Mental Health Platform
A context-aware mental-health platform that paired retrieval-augmented generation with safety guardrails and LLM optimization.
RAG lead & Llama Guard integration
RAGLlama 2Llama GuardHugging Face
Production data systems
Data Intelligence Graph Engine
An interactive graph exploration system for dense professional-network data, connected to an enrichment, merging, and provenance-aware ingestion pipeline.
10k+ nodes · 5M+ raw records · 100+ source strategies
Knowledge graphsEntity resolutionData pipelinesVisualization
Agentic AI · Personal project
Web Query Agent
An intelligent web search agent that validates queries, caches results semantically, scrapes top results, and generates AI-powered summaries.
Semantic caching · LLM summarization · Playwright scraping
GroqLlama 3.1ChromaDBPlaywrightPython
Hackathon · ML reasoning
LLMs Analytical Reasoning
Using few-shot learning, chain of thought, and advanced prompting techniques to assess and improve LLM performance in logical, analytical, and mathematical tasks.
Jadavpur University ML Hackathon 2024
Llama 2Prompt EngineeringTogether.AIChain of Thought
Experience
Built through research, delivery, and curiosity.
A timeline of roles where I have helped turn AI ideas into research, systems, and outcomes.
Jul 2026 - Present
Technical Operations Engineer
SteadRise · Secure AI Futures Lab/New Delhi · Hybrid
- Own technical operations spanning web-scale data sourcing, validation, enrichment, and provenance-aware profile consolidation.
- Maintain India state-wise AI policy data and contribute to AI-safety research on hallucinations, evaluation, and safe multilingual responses.
- Built a graph exploration engine for dense professional-network data: 10k+ nodes, 5k connections, layered views, and path-finding.
AI safetyData systemsKnowledge graphsPython
Mar 2026 - Jun 2026
Technical Operations Intern
SteadRise · Secure AI Futures Lab/New Delhi · Hybrid
- Built production-ready scripts for high-volume data scraping, validation, enrichment, and structured ingestion.
- Contributed to research on AI agents, red teaming, AI-safety organisations, governance, and multilingual safety considerations.
- Supported RFP matching and contextual-data improvements spanning funding history, activity, advisory, and startup signals.
Data ingestionResearch operationsRFP matchingAI governance
Apr 2025 - Present
Top-Rated AI/ML Developer
Upwork/Remote
- Deliver end-to-end AI products spanning RAG chatbots, time-series systems, semantic search, and agentic automation workflows for global clients.
- Built an HVAC support RAG system and business-process automations using LangGraph, MCP, Zapier, and MindsDB for a Florida-based company.
- Developed a vector-embedding SEO/GEO proof of concept across 33 websites, from scraping to content-gap scoring.
- Maintain a Top-Rated profile with consistent positive client feedback across diverse AI/ML engagements.
RAGLangGraphAutomationClient deliverySEO/GEO
Jul 2025 - Dec 2025
Machine Learning Engineer · Renewable Forecasting
NewGrid Consulting LLC/Arizona, US · Remote
- Led an end-to-end forecasting platform for solar and wind operations: ingestion, feature engineering, training, inference, monitoring, and reporting.
- Productionized LightGBM, CatBoost, and XGBoost ensembles after evaluating ARIMA and LSTM approaches; used 30-40 weather and operational features.
- Deployed 1,700+ packaged models across ~450 viable plants with 98% deployment success; internal production achieved average R² ≈ 0.73 and RMSE ≈ 0.86 MW.
- Implemented weekly automated inference with FastAPI and cron workflows, UTC-safe time-series handling, and quantile-regression prediction intervals.
ForecastingMLOpsFastAPILightGBM
Jun 2025 - Nov 2025
AI Researcher
CSIRO’s Data61/Australia · Remote
- Researched privacy threats and defenses in federated learning with Australia’s national science agency.
- Explored implementation of data-reconstruction attacks to understand privacy leakage in distributed ML environments.
- Studied various attack and defense surfaces in FL, including gradient leakage, model inversion, and defense mechanisms.
- Worked at the intersection of machine learning, privacy protection, distributed systems, and secure system design.
Federated learningPrivacyAI safetyDistributed systems
Feb 2026
AI Consultant
Jaagruk Bharat/New Delhi · Remote
- Diagnosed and helped fix an underperforming schema-finder workflow serving 50,000+ Indian government schemes.
- Improved retrieval quality and accuracy for a large civic-tech corpus targeting scheme accessibility.
Civic techInformation retrievalSchema matching
Feb 2024 - Jul 2024
AI Intern
BlockVerse Institute/Netherlands · Remote
- Completed a 50-hour applied AI/ML cohort covering GenAI, LLMs, supervised ML, NLP, computer vision, and MLOps.
- Built end-to-end HR-facing AI products including AIInterviewCoach and Insight-Hire.
- Delivered nearly 10 hands-on projects across classroom and product-oriented ML use cases.
GenAINLPComputer visionMLOps
Feb 2024 - Apr 2024
Junior ML Engineer
Omdena/Remote
- Led RAG development and Llama Guard integration for an open-source global mental-health assistance chatbot.
- Collaborated with 10+ contributors and explored DPO-based optimization for responsible LLM assistance.
RAGLlama GuardDPOOpen source
Jun 2026 - Present
Developer
ML Hub/Remote
- Helping the team bug-fix critical issues before their product launch.
- Implementing AI features and integrating intelligent capabilities into the platform.
Software engineeringAI featuresBug fixingPre-launch
Education
Foundations in AI, data, and engineering.
Academic backgrounds that shaped my research direction and engineering discipline.
Jun 2026 - Jun 2028
M.S. by Research · Data Science & AI
Indian Institute of Technology Madras
Researching multimodal deepfake detection for Indic languages under the India AI Mission, guided by Dr. Krishna Pilutla and Prof. Balaraman Ravindran.
AI researchMultimodal AIMulti-agent systemsRAG
Oct 2022 - May 2026
B.Tech · Computer Science (AI & ML)
Heritage Institute of Technology
Graduated with a 9.22/10 GPA while building foundations across AI/ML, data systems, deep learning, and DevOps.
GPA 9.22/10AI/MLDevOpsData systems
Technical toolkit
Deep enough to build. Broad enough to connect the dots.
Tools are in service of a problem. My core work sits across AI research, production modeling, and systems engineering.
AI, Research & Evals
LLMs & Generative AIMulti-agent systemsLangChain · LangGraphRAG architectureAI safety & red teamingLLM evaluationsFederated learningMachine unlearningNLP & transformersPyTorch · TensorFlow
Production ML & MLOps
Time-series forecastingLightGBM · CatBoost · XGBoostMLflow & model monitoringDocker · KubernetesFastAPICI/CD · Jenkins · AnsibleAWS · GCP · AzureFeature engineeringModel validationQuantile regression
Data & Engineering
Python · SQLPandas · NumPy · scikit-learnVector databases · ChromaDBOpenAI · Hugging FacePlaywright · FirecrawlMongoDB AtlasREST APIsGit · GitHubPlotly · Power BIStreamlit
Research & Data Practice
Experimental designA/B testingStatistical analysisEDAData quality reviewEntity resolutionWeb scrapingSchema designTechnical documentationStakeholder communication
Continuous learning
Curiosity, measured.
Kaggle has been part of my hands-on ML practice-from foundational regression work to competitive tabular modeling and iterative evaluation.
Visit Kaggle profileMLX Stage 1: Regression
Ranked 3 / 44
Regression · feature engineering
Obesity Risk Prediction
Ranked 84 / 3,587
Multiclass classification
Titanic: ML from Disaster
Competition work
Classification
House Prices
Competition work
Advanced regression
Certifications
Continuously sharpening the toolkit.
Selected certifications across AI, ML, cloud, and software engineering.
Building Multi-Agent Systems
CrewAI
Jul 2024
Multi-agent SystemsLLMsAgent memory
Data Sage Hackathon
IIT Gandhinagar
Jul 2025
Data Science
ML Hackathon
IIT Gandhinagar
Jul 2025
Machine Learning
Function Calling and Data Extraction with LLMs
DeepLearning.AI
Jun 2024
Function CallingLLMs
Prompt Engineering with Llama 2 & 3
DeepLearning.AI
Apr 2024
Prompt EngineeringLlama 2
Machine Learning
Stanford University / DeepLearning.AI
Jan 2024
Machine Learning
Neural Networks and Deep Learning
DeepLearning.AI
Jan 2024
BackpropagationDeep Learning
Generative AI
Google Cloud
Jan 2024
GCPGenerative AI
Large Language Models
Google Cloud
Jan 2024
GCPLLMs
Responsible AI
Google Cloud
Jan 2024
GCPResponsible AI
Machine Learning on AWS
Amazon Web Services
Jan 2024
MLAWS
Feature Engineering
Kaggle
Feb 2024
Feature EngineeringML
SQL for Data Science
UC Davis
Feb 2024
SQLData Analysis
Intermediate Machine Learning
Kaggle
Sep 2023
PipelinesData Leakage
100 Days of Code: Python Pro Bootcamp
Udemy
Jan 2024
PythonWeb Development
Mastering DSA using C and C++
Udemy
Nov 2023
C++Algorithms
Let's build something meaningful
Have a challenging AI problem?
I'm interested in research collaborations, thoughtful ML products, and teams working on reliable, safe AI. Let's talk.